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Paper Citation Record · LEDGER

Coalesced Multi-Output Tsetlin Machines with Clause Sharing

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2108.07594.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2108.07594 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:47:42.576535Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T22:47:37.215551Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa7f7dc5-4449-4dcd-a260-f5cd0784096e · inbound

IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference cites this paper.

IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:43:31.614757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:43:31.614757Z digest=sha256:106309ef762cd909e29e44ba3f582416996971ff4f47ed2279ac6417136f534d

Observation 19375073-0111-40b3-9d59-13705e344067 · inbound

Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings cites this paper.

Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T21:45:25.792748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:45:25.792748Z digest=sha256:55c74099c0c108075de1b4d4edf3ebb9312c7322ee3d49fca2a98d5c334e79bf

Observation f18f2eb0-198b-4326-ab5d-5694ff44bca4 · inbound

An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator cites this paper.

An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T20:32:06.305304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:32:06.305304Z digest=sha256:12bc2c083fafc32442bee94e52786defd79c70525e82a9acb48c4f27abfff75c

Observation ef9d6d93-a0de-48c2-82db-6267518798dc · inbound

Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs cites this paper.

Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:42.576535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:42.576535Z digest=sha256:30925cd731e85785786444ec9777d4dcc6e3c0c29b486e46bd16dca64a69a29d

Observation 7fa95588-800b-4ec8-885e-df6f087c807a · inbound

Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space cites this paper.

Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:19.137403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:07:19.137403Z digest=sha256:1aa4143d346a726c24f3594f681f44a697f1fe42bd24fbef873b65774c6291a2

Observation 05455fad-7cd1-428e-a3b7-a8acff3c5fb2 · inbound

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs cites this paper.

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:52:01.624751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T03:47:34.119935Z digest=sha256:9cba58d876c82ea74ce54fe111e0fd5ecbe364dd48f630a15f7ddc91d6b48336

Observation 92c52de4-c14f-49df-9532-8cbddd3cd26f · inbound

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings cites this paper.

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.023083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T00:54:52.741834Z digest=sha256:436afe4b84d177df9239b57d1bb846463fc4c21e355afd7569c8ee5f2419f27c

Observation 5e388e97-12f7-4058-8678-aab94eaf0fd9 · inbound

Macroeconomic Message Passing for Anticipating Foreign Exchange Regime Changes: A Deep Logical Learning Approach using Graph Tsetlin Machines cites this paper.

Macroeconomic Message Passing for Anticipating Foreign Exchange Regime Changes: A Deep Logical Learning Approach using Graph Tsetlin Machines Coalesced Multi-Output Tsetlin Machines with Clause Sharing

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T22:47:37.231405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-10T22:46:12.919896Z digest=sha256:6f94da215e0ca612e344fc5d5649aed5f8b4503849f23c13dd386eadfa8c05b7